Dify

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Open-source LLM app platform with visual workflow builder, RAG pipeline, and 138K GitHub stars.

Dify is an open-source LLM application development platform combining a visual workflow builder, RAG (retrieval-augmented generation) pipeline, prompt orchestration, model management, and observability into a single integrated platform. With 138K GitHub stars (top-10 most-starred AI repo globally) and 1.2M monthly visitors, Dify powers production AI applications at thousands of companies. It supports 100+ LLMs including OpenAI, Anthropic, Google Gemini, Mistral, and local Ollama models. Self-hosting under the Apache 2.0 license is free; Dify Cloud Professional is $59/month.

#llm

#open-source

#rag

#workflow

#developer-tools

#ai-platform

#no-code

#automation

Freemium

Free plan available

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dify.ai

Freemium

Pricing Model

Productivity & Workflow

Key Features

Visual workflow builder - orchestrate multi-step LLM pipelines visually
RAG pipeline - ingest PDFs, URLs, databases, and Notion for grounded responses
100+ LLM integrations including OpenAI, Anthropic, Gemini, Mistral, Ollama
Agent mode - autonomous tool-calling with web search, code execution, and APIs
Prompt management with version control and A/B testing
Built-in observability - trace LLM calls, latency, and token usage
Self-hostable Apache 2.0 - full data sovereignty on your own infrastructure

Use Cases

Teams building internal AI assistants grounded in company knowledge bases
Developers prototyping multi-step LLM workflows without writing glue code
Enterprises self-hosting AI pipelines for compliance and data privacy
Startups building customer-facing AI products on top of FLUX models
Operations teams automating document processing and data extraction
Researchers building RAG systems over technical document collections

Pros

138K GitHub stars - massive open-source community and contribution velocity
Most complete all-in-one LLM platform: RAG + agents + observability + prompts
Self-hosted Apache 2.0 version is fully free with no feature limitations

Cons

Self-hosting requires Docker and infrastructure management expertise
Cloud plan at $59/month is expensive relative to simpler tools for basic use cases
Rapid release pace means breaking changes need monitoring in self-hosted setups

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